title: Tumor growth dynamics: insights into evolutionary processes.
abstract: Identifying the types of event that drive tumor evolution and progression is crucial for understanding cancer. We suggest that the analysis of tumor growth dynamics can provide a window into tumor biology and evolution by connecting them with the types of genetic change that have occurred. Although fundamentally important, the documentation of tumor growth kinetics is more sparse in the literature than is the molecular analysis of cells. Here, we provide a historical summary of tumor growth patterns and argue that they can be classified into five basic categories. We then illustrate how those categories can provide insights into events that drive tumor progression, by discussing a particular evolutionary model as an example and encouraging such analysis in a more general setting.
authors.affiliation: Department of Mathematics, University of California, Irvine, CA 92697, USA. Electronic address: iarodrig@uci.edu.
authors.forename: Ignacio A
authors.initials: IA
authors.lastname: Rodriguez-Brenes
authors.forename: Natalia L
authors.initials: NL
authors.lastname: Komarova
authors.forename: Dominik
authors.initials: D
authors.lastname: Wodarz
mesh_terms: D005075:Biological Evolution; D063646:Carcinogenesis; D019143:Evolution, Molecular; D009369:Neoplasms / Q000145:classification / Q000209:etiology / Q000235:genetics*; D011157:Population Dynamics